How to Transcribe Audio with Gemini in 2026: A 5-Step Guide

Gemini can upload audio files and transcribe them directly—even with a free account. So do you still need a separate speech-to-text tool?

This is the question I get asked most often lately. The answer depends on one thing: do you just need a text file, or do you need meeting materials you can use to write notes, track action items, and share with your team?

If you occasionally need to turn a short recording (under 10 minutes) into text, Gemini works well. But when recordings are an hour long, you need speaker labels, you want to organize them into minutes, and you need colleagues to review them together, it's no longer just about a "convert" button.

First, identify which situation you're stuck in

The meeting is over, and the recording is sitting on your phone. You know your boss assigned three tasks, but you'd have to listen to 50 minutes again to find them.

You recorded a two-hour client interview and got a transcript, but it has no paragraphs, no highlights, and no indication of who said what. In the end, you listen to it all over again yourself.

In a cross-department meeting with mixed Chinese and English, the Chinese sentences are understandable, but product names and people's names are completely garbled.

These aren't really "transcription" problems—they're "what to do after transcription" problems. Choose the right tool, and you save organization time; choose the wrong one, and you just trade the work of re-listening for the work of reading errors.

Understand these 4 things before choosing a tool (using Gemini's test results as a reference)

1. Is the free quota measured in minutes or in amount of text?

Gemini's free account can indeed upload audio files and transcribe them, and it's fast—in our test, a 20-minute audio file was done in about 1 minute.

But the limit is hidden in the "amount of text it can process": a 7-minute recording can still be transcribed into about 1,000 characters of Traditional Chinese, but anything over 10 minutes often exceeds the free tier's limit. There's also a separate 100MB file size limit.

So look closely at the word "free"—is it minutes per month, minutes per file, or converted to character count? The calculation method makes a big difference in whether it can handle your meeting length.

2. Which formats are supported? Are timestamps accurate?

Gemini currently handles MP3, M4a, and WAV; AAC files show that the text content cannot be recognized.

Also, while you can ask it to output subtitle format, the time codes only match for the first few seconds and then drift off. If you need to go back to the original recording to check "who said what at what minute and second," this is non-negotiable.

3. Is there any post-processing after transcription?

A 60-minute meeting transcript is roughly 10,000 words—nobody wants to read it from start to finish.

Whether it can automatically generate summaries, chapters, and action items, and whether you can ask follow-up questions directly about the content, determines whether you save "typing time" or "organization time." This is also where most people get stuck after transcription.

4. Who ultimately owns the data? How does the team share it?

If meeting recordings are stored in personal accounts, when a colleague leaves, changes departments, or storage fills up, the data gets scattered.

If meeting content is a team asset, you need to confirm whether the tool has team spaces, member roles and seat distinctions, and how data is handed over when members leave.

Tinrec (秒聽錄音)—why I trust it with my recordings

Tinrec (秒聽錄音) is an AI meeting notes and collaboration tool for individuals and teams, available on web, desktop, and mobile. Its main selling point isn't "turning voice into text" but "making recordings usable after the fact."

The actual process is roughly these 5 steps:

Step 1: Choose your source. For in-person meetings, use live recording; for online meetings, use the desktop version to capture system audio directly—it handles Zoom, Google Meet, Microsoft Teams, and Webex without needing to add an extra bot to the meeting. You can also upload existing audio or video files.

Step 2: Transcribe while recording. The transcript is generated in real time during recording. For cross-language meetings, you can enable live translation and view in original, translated, or bilingual mode.

Step 3: Let AI organize. After the meeting, it automatically generates summaries and chapters, breaking long meetings into readable sections and extracting action items from the discussion.

Step 4: Ask questions directly about the meeting. This is where it differs most from ordinary transcription tools. You can ask "Who mentioned the budget in the last meeting?" or "What were the client's concerns about pricing?" and it answers based on meaning, rather than dumping a transcript for you to search with Ctrl+F.

Step 5: Export and archive. Results can be exported to Notion, Google Docs, OneNote, Dropbox, and other tools for further processing, and you can use Agent post-processing to generate reports, tables, and meeting minutes.

Three things I particularly like:

No meeting bot needed. The desktop version captures system audio, so no AI assistant appears in the participant list, and you don't need to ask the host for permission in advance.

Chinese and mixed Chinese-English handling is closer to the reality of meetings in Taiwan, and the team version lets you maintain a glossary to lock down product names and technical terms.

The workflow is complete. Most tools stop at the transcript; Tinrec goes further to summaries, action items, Q&A, and export.

One caveat: transcription quality is still affected by recording quality, background noise, accents, people talking over each other, and technical jargon. For important content, it's best to double-check against the original text and recording. The free version's quota is suitable for light use; heavy meeting users should consider upgrading.

If meeting data needs to stay with the team, the team version provides an independent team space: you can create multiple teams, invite members via link, set owners/admins/regular members, and assign or revoke seats. Note that roles and seats are two different things—members without a seat can still view, play, and read team data, but recording, uploading, editing, and exporting require a seat. Paid seats include 2,000 minutes of shared team import quota per month; live recording currently does not consume minutes under an active plan. Eligible teams can try 7 days, 1 free seat, and 300 shared minutes for the first time. Monthly billing is USD 29.80 per paid seat; annual billing is USD 199 per paid seat (about USD 16.58/month). Actual prices and benefits are subject to the official purchase page.

If you have regular weekly meetings, need Chinese transcripts and minutes you can send out directly, or want to find key points via Q&A after recording, Tinrec is the smoothest tool I've used so far.

Besides Tinrec, what other options are there?

Google Gemini: The most economical choice for occasionally transcribing a short recording. Open Gemini, upload an MP3/M4a/WAV, and give a prompt like "Please transcribe this recording into Traditional Chinese and label the speakers"—it starts transcribing, and free accounts can use it. Note that the free version has a text limit, a 100MB file size limit, doesn't support AAC, and subtitle timestamps are unreliable. It's good for getting the gist of a recording, but not for long meetings, archiving historical data, or team sharing.

Otter.ai: A mature choice for English meetings. Basic is free for 300 minutes per month; Pro annual billing is about USD 8.49 per user per month for 1,200 minutes per month. The English business experience is complete, but Chinese and mixed Chinese-English are not its strong suit; if you need Chinese transcripts plus team glossary management, Tinrec is smoother.

Notta: The tool with the most overlap with Tinrec—multi-platform transcription, file import, translation, and team plans are all available. Free version: 120 minutes per month, up to 3 minutes per session; Pro annual billing is about USD 8.17 per month for 1,800 minutes per month; Business annual billing is about USD 16.67 per seat per month. The difference is in the capture method—Tinrec's desktop version can record online meetings without a bot and also puts transcripts, summaries, and action items into the team space.

Pitfall guide: The 4 most common mistakes when choosing a speech-to-text tool

Pitfall 1: Only looking at the word "free." Free quotas can be measured in minutes, in characters, or limited by file length. Test with your longest meeting first—that's more accurate than looking at spec sheets.

Pitfall 2: Thinking the transcript is the end. The transcript is raw material, not a finished product. The real time is spent on paragraphing, highlighting, and organizing action items—if the tool only gives you a big block of text, you haven't actually saved work time.

Pitfall 3: Ignoring formats and timestamps. Before uploading, confirm the file format is on the supported list. For situations where you need to cross-reference the recording (interviews, legal, research), timestamp accuracy is more important than transcription speed.

Pitfall 4: Putting sensitive meetings into places without governance. Recordings may contain client data and internal decisions. For team use, ask clearly about member permissions, usage logs, data retention, and deletion processes; also remember to get participants' consent before recording and comply with local regulations.

Conclusion: Which one should you choose?

2–3 meetings a week, need Chinese transcripts and minutes → Tinrec

Don't want a bot joining the participant list in online meetings → Tinrec desktop version

Want to ask "What was the conclusion of the last meeting?" right after recording → Tinrec's AI Q&A

Team needs to share meeting data, manage members and usage → Tinrec team version

Only occasionally transcribe recordings under 10 minutes, zero budget → Gemini

Mainly English meetings, team all uses English → Otter.ai

Honestly, speech-to-text isn't hard anymore—what's hard is what to do after transcription. I suggest trying a real recording of your own first, checking the transcript for errors and seeing if the summary captures the key points. You'll know in about ten minutes whether the tool suits you.

References

• Note-taking savior! Google Gemini supports uploading audio files, AI assistant transcribes over 10,000 words of speech in one minute - TNL The News Lens
• Get meeting minutes done! How to do AI speech-to-text? Gemini Notebook, Gemini, EchoScript operation analysis | 104 Career Power
• Generate text-to-speech audio files (TTS) | Gemini API | Google AI for Developers
• Gemini can also transcribe audio files for free, 20 minutes of content in 1 minute - Computer King Ada
• What is Gemini 3.5 Transcribe? AI speech-to-text, meeting transcripts, and practical features at a glance | Dolphin AI Academy